Apache Mesos vs Kubernetes
Developers should learn Apache Mesos when building or managing large-scale, heterogeneous distributed systems that require high resource utilization and multi-framework support, such as in data centers or cloud environments meets kubernetes is widely used in the industry and worth learning. Here's our take.
Apache Mesos
Developers should learn Apache Mesos when building or managing large-scale, heterogeneous distributed systems that require high resource utilization and multi-framework support, such as in data centers or cloud environments
Apache Mesos
Nice PickDevelopers should learn Apache Mesos when building or managing large-scale, heterogeneous distributed systems that require high resource utilization and multi-framework support, such as in data centers or cloud environments
Pros
- +It is particularly useful for organizations running mixed workloads (e
- +Related to: apache-spark, apache-hadoop
Cons
- -Specific tradeoffs depend on your use case
Kubernetes
Kubernetes is widely used in the industry and worth learning
Pros
- +Widely used in the industry
- +Related to: docker, helm
Cons
- -Specific tradeoffs depend on your use case
The Verdict
These tools serve different purposes. Apache Mesos is a platform while Kubernetes is a tool. We picked Apache Mesos based on overall popularity, but your choice depends on what you're building.
Based on overall popularity. Apache Mesos is more widely used, but Kubernetes excels in its own space.
Disagree with our pick? nice@nicepick.dev